similar to: Revert to R 3.2.x code of logicalSubscript in subscript.c?

Currently, in function 'logicalSubscript' in subscript.c, the case of no recycling is handled like the implentation of R function 'which'. It passes through the data only once, but uses more memory. It is since R 3.3.0. For the case of recycling, two passes are done, first to get number of elements in the result. Also since R 3.3.0, function 'makeSubscript' in subscript.c

> Henrik Bengtsson: > > I'm looking for a way to get the length of an object 'x' as given by > base data type without dispatching on class. The performance improvement you're looking for is implemented in the latest version of pqR (pqR-2016-10-24, see pqR-project.org), along with corresponding improvements in several other circumstances where unclass(x) does not

I have rewritten the R parser in the new version of pqR that I recently released (pqR-2015-09-14, at pqR-project.org). The new version of the parser is much cleaner, is faster (sometimes quite substantially faster), has a better interface to the read-eval-print loop, and provides a better basis for future extensions. The deparser has also been substantially revised in pqR, and is better

> From: Tomas Kalibera <tomas.kalibera at gmail.com> > > Thanks for the report, I am working on a patch that will address this. > > I confirm there is a lot of potential for speedup. On my system, > > 'N=200000; x <- substring(paste(rep("A", N), collapse=""), 1:N, 1:N)' > > spends 96% time in checking if the string is ascii and 3%

Regarding the discussion of getting length(unclass(x)) without an unclassed version of x being created... There are already no copies done for length(unclass(x)) in pqR (current version of 2017-06-09 at pqR-project.org, as well as the soon-to-be-release new version). This is part of a more general facility for avoiding copies from unclass in other circumstances as well - eg,

41;309;0c> Why does debug() enter Browse[3] here at all, and why does it happen the > first time and not the second? This seems unexpected to me, and has > undesirable effects for ESS users (that I reported here - > https://stat.ethz.ch/pipermail/ess-help/2013-June/009154.html - but just > realized my post to r-devel didn't make it through when I tried to report > it back

Dear R forum I have a data.frame as cashflow_df = data.frame(instrument = c("ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC","ABC", "ABC", "PQR", "PQR",

I have released a new, faster, version of R, which I call pqR (for "pretty quick" R), based on R-2.15.0. Among many other improvements, pqR supports automatic use of multiple cores to perform numerical computations in parallel with other numerical computations, and with the interpretive thread. It also implements a true reference counting scheme to reduce the amount of unnecessary

Dmitriy Selivanov (selivanov.dmitriy at gmail.com) wrote: > Consider following example: > > a = matrix(1:2, nrow = 2, dimnames = list(c("row1", "row2"), c("col1"))) > a[1, ] > # 1 > > It returns *unnamed* vector `1` where I would expect named vector. In fact > it returns named vector when number of columns is > 1. > Same issue applicable

Dear R helpers   After executing the R code, where the last few lines of the code are something like given below.     ## Part of my R code     n = 20   ........ .........   final_output = data.frame(Numbers = numbers, ABC = data1, XYZ = data2, PQR = data3)           write.csv(data.frame(Scenario = paste("Sc_", 1:n, sep = ""), final_output'), 'result.csv', row.names

Dear R helpers   I have some variables say ABC, DEF, PQR, LMN and XYZ. I am choosing any three varaibles at random at a time for my analysis and name these files as input1.csv, input2.csv and input3.csv. So if I choose variables say ABC, DEF and PQR, I am passing the specifications of these variables to input1.csv, input2.csv and input3.csv respectively.   This means in another case even if I

A new version of pqR is now available at pqR-project.org, which fixes several bugs that are also present in the latest R Core patch release (r66002). A number of bugs found previously during pqR development are also unfixed in the latest R Core release. Here is the list of these bugs that are unfixed in r66002 (including documentation deficiencies), taken from the pqR bug fix and documentation

Dear R Forum, I have a data.frame as df = data.frame(date = c("2013-04-15", "2013-04-14", "2013-04-13", "2013-04-12", "2013-04-11"), ABC_f = c(62.80739769,81.04525895,84.65712455,12.78237251,57.61345256), LMN_d = c(21.16794336,54.6580401,63.8923307,87.59880367,87.07693716), XYZ_p = c(55.8885464,94.1358684,84.0089114,98.99746696,64.71083712),

Along with getting pqR to work on Windows, I've also been testing it in the context of embedded R, and in the process have found some problems with the examples given of embedded R use. One problem can be seen in R_ReplDLLinit, in src/main/main.c: void R_ReplDLLinit(void) { SETJMP(R_Toplevel.cjmpbuf); R_GlobalContext = R_ToplevelContext = R_SessionContext = &R_Toplevel;

> From: "Cohn, Robert S" <robert.s.cohn at intel.com> > > I am using R to multiply some large (30k x 30k double) matrices on a > 64 core machine (xeon phi). I added some timers to > src/main/array.c to see where the time is going. All of the time is > being spent in the matprod function, most of that time is spent in > dgemm. 15 seconds is in matprod in

Dear Sirs. I'm trying to make a Backup System using SAMBA. The purpose is make backup of some directory of Windows 9x machines, like Office Documents, E-mails directory, etc. If I make one software that "select" and backup certain directories, it will be good. There are ~200 machines with Windows 9x, in 5 C class network: 1 - xyz.pqr.8.abc 2 - xyz.pqr.9.abc 3 - xyz.pqr.10.abc 4 -

There are websites using python to convert a pdb to a pqr. I was wondering if there is a simpler way to do it. We have a protein in pdb format, and want to convert that to a pqr file so that the program apbs can open it. We want to accomplish this conversion in R. Thank you for your help. -- View this message in context: http://n4.nabble.com/Converting-pdb-to-pqr-tp1475426p1475426.html Sent

I am trying to write a program that uses R and takes a pdb file, and converts it to a pqr file. This task is simple generally, using the website, http://pdb2pqr-1.wustl.edu/pdb2pqr/. How do you use R to input a pdb file (that is on hand) into the upload pdb file input, and run the website and give the return file to be a pqr file. Thanks for your help. -- View this message in context:

I will shortly be releasing a new version of pqR (you can get a test version from pqR-project.org now - scroll to the bottom of the page). One new feature in this version requires adding a bit to the flags written out when data is serialized. I thought I'd let you know about this so as to avoid any possible conflicts. The new feature is that a few R objects are defined as constants, which

While doing some performance testing with the new version of pqR (see pqR-project.org), I've encountered an extreme, and quite unnecessary, inefficiency in the current R Core implementation of R, which I think you might want to correct. The inefficiency is in access to columns of a data frame, as in expressions such as df$col[i], which I think are very common (the alternatives of